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checkpoint: update KhangTruong/diffusion-diff-minimized-512 (best at epoch 3, step 3751)
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metadata
license: apache-2.0
tags:
  - pytorch
  - sid-unet
  - image-segmentation
  - synthetic-image-detection
  - diffusion-detection
pipeline_tag: image-segmentation
library_name: sid-unet

diffusion-diff-minimized-512

Official repository for diffusion-diff-minimized-512 checkpoints, evaluated on AI-generated image detection and segmentation tasks.

πŸ“Œ Available Versions

Version Best Metric Score Best Epoch Updated
v1 0.2837402272008726 3 2026-11-02
  • Active Version: v1
  • Best Validation Score: 0.2837402272008726 (Epoch 3)
  • Total Training Epochs: 3

πŸš€ Quickstart & Checkpoint Usage

1. Pull checkpoints using sid-pull

To download the latest checkpoint directly to your local workspace:

sid-pull --name KhangTruong/diffusion-diff-minimized-512

To pull a specific version:

sid-pull --name KhangTruong/diffusion-diff-minimized-512 --version v1

2. Resume or Fine-tune with sid-train

Once downloaded, resume training seamlessly:

sid-train --config configs/experiments/diffusion_diff_minimized/default.yaml --override training.epochs=40

Or specify explicit checkpoint path:

sid-train --resume checkpoints/checkpoint_latest.pt

3. Push new checkpoints using sid-push

sid-push --name KhangTruong/diffusion-diff-minimized-512 --version v2

πŸ“‚ Repository Layout

KhangTruong/diffusion-diff-minimized-512/
β”œβ”€β”€ README.md               # Model Card & Documentation
β”œβ”€β”€ config.yaml             # Model & Training Configuration
β”œβ”€β”€ manifest.json           # Catalog of all versions & metrics
β”œβ”€β”€ checkpoints/            # Active / Latest Checkpoints
β”‚   β”œβ”€β”€ checkpoint_best.pt
β”‚   β”œβ”€β”€ checkpoint_latest.pt
β”‚   └── checkpoint_periodic.pt
β”œβ”€β”€ reports/                # Evaluation reports & plots
β”‚   β”œβ”€β”€ training_curves.png
β”‚   └── test_evaluation_report.json
└── versions/               # Version Archive
    └── v1/
        β”œβ”€β”€ checkpoints/
        └── reports/